Summary

Dataset 1

Experiments excluded

Mask

Get figure file: figures/preliminary_dset-1_figure-mask.png

Peak coordinates

Get figure file: figures/preliminary_dset-1_figure-static.png
Get figure file: figures/preliminary_dset-1_figure-legend.png

Explorer

Meta-Analysis

Estimator

Parameters use to fit the meta-analytic estimator.

Corrector

Parameters use to fit the corrector.

Corrected meta-analytic map: z_corr-FDR_method-indep

Explorer

The following figure provides an interactive window to explore the meta-analytic map in detail.

Slice viewer

This panel shows the the corrrected meta-analytic map.

Get figure file: figures/corrector_figure-static.png

Diagnostics

Target image: z_corr-FDR_method-indep

Significant clusters

    X Y Z Peak Stat Cluster Size (mm3)
Tail Cluster ID          
Positive 1 -2.00 52.00 10.00 5.15 19104
1a -2.00 54.00 20.00 5.15
1b -8.00 54.00 8.00 4.88
1c -6.00 46.00 2.00 4.88
2 -52.00 -60.00 18.00 5.01 11960
2a -46.00 -60.00 26.00 4.88
2b -48.00 -56.00 18.00 4.88
2c -48.00 -66.00 12.00 4.65
3 -4.00 -54.00 32.00 4.88 6296
3a -12.00 -52.00 26.00 3.79
3b -6.00 -58.00 26.00 3.48
3c 2.00 -62.00 34.00 3.48
4 8.00 8.00 -2.00 4.38 7280
4a 2.00 16.00 -2.00 3.79
4b 12.00 8.00 2.00 3.79
4c -8.00 0.00 0.00 3.48
5 60.00 -44.00 18.00 4.38 15848
5a 46.00 -66.00 -14.00 3.48
5b 56.00 -68.00 4.00 3.48
5c 46.00 -68.00 -4.00 3.48
6 -44.00 22.00 -8.00 4.08 6096
6a -36.00 20.00 -8.00 4.08
6b -40.00 26.00 -12.00 3.48
6c -42.00 18.00 -4.00 3.48
7 38.00 18.00 -8.00 3.79 4128
7a 32.00 24.00 -12.00 3.15
7b 28.00 16.00 -10.00 2.80
7c 32.00 22.00 -16.00 2.80
8 -4.00 8.00 56.00 3.79 5152
8a -2.00 8.00 46.00 3.15
8b -8.00 14.00 62.00 2.80
8c 0.00 6.00 50.00 2.80
9 -60.00 -30.00 22.00 3.15 1664
9a -46.00 -28.00 14.00 2.80
9b -58.00 -34.00 24.00 2.45
9c -56.00 -30.00 16.00 2.45
10 8.00 -90.00 4.00 3.15 1152
10a 6.00 -86.00 14.00 2.45
10b 6.00 -84.00 4.00 2.45
10c 6.00 -90.00 10.00 2.45
11 -44.00 -34.00 52.00 2.80 336
12 -48.00 10.00 28.00 2.80 984
12a -56.00 2.00 24.00 2.45
12b -54.00 10.00 22.00 2.45
12c -50.00 6.00 28.00 2.45
13 54.00 -30.00 4.00 2.80 448
13a 50.00 -28.00 -4.00 2.09
13b 52.00 -34.00 8.00 2.09
13c 54.00 -28.00 0.00 2.09
14 -40.00 -62.00 42.00 2.45 640
14a -30.00 -64.00 44.00 2.45
14b -36.00 -62.00 38.00 1.72
14c -42.00 -56.00 44.00 1.72
15 -46.00 6.00 46.00 2.45 768
15a -40.00 14.00 48.00 1.72
16 -14.00 -90.00 -2.00 2.45 1040
16a -6.00 -86.00 0.00 2.45
16b -2.00 -80.00 4.00 2.45
16c -10.00 -82.00 -8.00 2.09
17 60.00 -4.00 -12.00 2.45 208
18 52.00 12.00 2.00 2.45 200
19 42.00 4.00 44.00 2.45 704
19a 44.00 6.00 52.00 2.45
19b 44.00 8.00 44.00 2.09
19c 48.00 -2.00 48.00 1.72
20 -6.00 -20.00 34.00 2.45 240
21 4.00 22.00 40.00 2.45 544
22 52.00 24.00 10.00 2.45 704
22a 46.00 28.00 14.00 1.72
23 -58.00 -50.00 38.00 2.09 88
24 -50.00 -38.00 44.00 2.09 208
25 -38.00 -32.00 58.00 2.09 264
26 -20.00 -80.00 42.00 2.09 112
27 34.00 -86.00 0.00 2.09 88
28 38.00 -34.00 64.00 2.09 168
29 48.00 10.00 -6.00 2.09 112
30 38.00 -30.00 44.00 1.72 96

Label map: positive tail

Get figure file: figures/diagnostics_tail-positive_figure.png

FocusCounter

The FocusCounter analysis characterizes the relative contribution of each experiment in a meta-analysis to the resulting clusters by counting the number of peaks from each experiment that fall within each significant cluster.

The heatmap presents the relative contributions of each experiment to each cluster in the thresholded map. There is one row for each experiment, and one column for each cluster, with column names being PostiveTail/NegativeTail indicating the sign (+/-) of the cluster's statistical values. The rows and columns were re-ordered to form clusters in the heatmap.

Heatmap: positive tail

Methods

We kindly ask to report results preprocessed with this tool using the following boilerplate.

A multilevel kernel density (MKDA) meta-analysis \citep{wager2007meta} was performed was performed
with NiMARE 0.6.0+6.g55f7ea1 (RRID:SCR_017398; \citealt{Salo2023}), using a(n) MKDA kernel. An MKDA
kernel \citep{wager2007meta} was used to generate study-wise modeled activation maps from
coordinates. In this kernel method, each coordinate is convolved with a sphere with a radius of
10.0 and a value of 1. For voxels with overlapping spheres, the maximum value was retained. Summary
statistics (OF values) were converted to p-values using an approximate null distribution. The input
dataset included 1586 foci from 206 experiments. False discovery rate correction was performed with
the Benjamini-Hochberg procedure \citep{benjamini1995controlling}.

Bibliography

@article{Salo2023,
  doi = {10.52294/001c.87681},
  url = {https://doi.org/10.52294/001c.87681},
  year = {2023},
  volume = {3},
  pages = {1 - 32},
  author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
  title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
  journal = {Aperture Neuro}
}
@article{benjamini1995controlling,
  title={Controlling the false discovery rate: a practical and powerful approach to multiple testing},
  author={Benjamini, Yoav and Hochberg, Yosef},
  journal={Journal of the Royal statistical society: series B (Methodological)},
  volume={57},
  number={1},
  pages={289--300},
  year={1995},
  publisher={Wiley Online Library},
  url={https://doi.org/10.1111/j.2517-6161.1995.tb02031.x},
  doi={10.1111/j.2517-6161.1995.tb02031.x}
}
@article{wager2007meta,
  title={Meta-analysis of functional neuroimaging data: current and future directions},
  author={Wager, Tor D and Lindquist, Martin and Kaplan, Lauren},
  journal={Social cognitive and affective neuroscience},
  volume={2},
  number={2},
  pages={150--158},
  year={2007},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/scan/nsm015},
  doi={10.1093/scan/nsm015}
}